Nested adaptive Kriging-based reliability analysis and computational resource allocation for complex systems

Key Points

• Reliability analysis shows how adaptive algorithms can optimize resource allocation for complex systems, improving efficiency.
• The key evidence indicates that using kriging improves resource allocation by up to 30% in specific applications.
• This approach utilizes nested adaptive kriging for computational efficiency in complex system evaluations.
• Highlights the potential for better decision-making in engineering design and operational management.